Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiaorui Luo"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 6449-6460 (2023)
Accurate prediction of short-term wind power plays an important role in the safe operation and economic dispatch of the power grid. In response to the current single algorithm that cannot further improve the prediction accuracy, this study proposes a
Externí odkaz:
https://doaj.org/article/ad10081ad8c24e0187f1256c052d2fb7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 9025-9037 (2022)
Short-term wind power forecasting is of great significance to the real-time dispatching of power systems, but the short-term forecasting accuracy of wind power is not high. To this end, this paper proposes a hybrid prediction model that combines the
Externí odkaz:
https://doaj.org/article/afceeb462bec4f7481bd1eda0a8b73a8
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3234-3243 (2022)
To solve the wind power prediction problem, the Improved Sparrow Search Algorithm-Least Squares Support Vector Machine (ISSA-LS-SVM) prediction model based on chaotic sequences is proposed to improve the convergence accuracy and shorten the predictio
Externí odkaz:
https://doaj.org/article/f2114f48dcd34507b42942d713befec7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 9919-9932 (2022)
Short-term photovoltaic (PV) power prediction is significant in improving power grid planning and dispatching capacity. However, the change of PV power has strong randomness and volatility, which will affect the prediction accuracy. A PV power short-
Externí odkaz:
https://doaj.org/article/f625ab5916da45e08a2d8eec6565c277
Publikováno v:
IOP Conference Series: Materials Science & Engineering; Jan2017, Vol. 167 Issue 1, p1-1, 1p